Identifying calendar-correlated day-ahead price profile clusters for enhanced energy storage scheduling

Roberts, D. and Brown, S.F. orcid.org/0000-0001-8229-8004 (2020) Identifying calendar-correlated day-ahead price profile clusters for enhanced energy storage scheduling. In: Cruden, A., (ed.) Energy Reports. 4th Annual CDT Conference in Energy Storage & Its Applications, 09-10 Jul 2019, Southampton, U.K.. Elsevier , pp. 35-42.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Hierarchical clustering; Scheduling; Optimisation; Energy storage; Revenue stacking
Dates:
  • Accepted: 25 February 2020
  • Published (online): 21 May 2020
  • Published: May 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 Mar 2020 11:57
Last Modified: 03 Jun 2020 15:42
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.egyr.2020.02.025

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